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DRAG DROP

You are planning to host practical training to acquaint staff with Docker for Windows.

Staff devices must support the installation of Docker.

Which of the following are requirements for this installation? Answer by dragging the correct options from the list to the answer area.

Select and Place:

DRAG DROP

You have an Azure Machine Learning workspace. You are running an experiment on your local computer.

You need to use MLflow Tracking to store metrics and artifacts from your local experiment runs in the workspace.

In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Select and Place:

You are using a decision tree algorithm. You have trained a model that generalizes well at a tree depth equal to 10.

You need to select the bias and variance properties of the model with varying tree depth values.

Which properties should you select for each tree depth? To answer, select the appropriate options in the answer area.

Hot Area:

An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs.

The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite having a fully- utilized compute cluster where

the web service is deployed.

You need to improve performance of the image classification web service with minimal downtime and minimal administrative effort.

What should you advise the IT Operations team to do?

A. Create a new compute cluster by using larger VM sizes for the nodes, redeploy the web service to that cluster, and update the DNS registration for the service endpoint to point to the new cluster.

B. Increase the node count of the compute cluster where the web service is deployed.

C. Increase the minimum node count of the compute cluster where the web service is deployed.

D. Increase the VM size of nodes in the compute cluster where the web service is deployed.

You are creating a binary classification by using a two-class logistic regression model.

You need to evaluate the model results for imbalance.

Which evaluation metric should you use?

A. Relative Absolute Error

B. AUC Curve

C. Mean Absolute Error

D. Relative Squared Error

E. Accuracy

F. Root Mean Square Error